InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥
Repository Index
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An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
A concise, beginner-friendly introduction to the core ideas of linear algebra.
Implementation of all RL algorithms in a simpler way
Code, Notebooks and Examples from Practical Business Python
- python
- pandas
- datascience
- scikit-learn
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
- deep-learning
- bayesian-inference
- pytorch
- reproducible-research
Public repo for DeepLearning.AI MLEP Specialization
OneDiff: An out-of-the-box acceleration library for diffusion models.
- comfyui
- diffusers
- pytorch
- sdxl
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes
- bitcoin
- cryptocurrency
- crypto
- elliptic-curves
AI magics meet Infinite draw board.
- pytorch
- stable-diffusion
- pypi
- python
BERT score for text generation
100 days of LLM inference engineering — daily posts, experiments, and visualizations
Notebooks about Bayesian methods for machine learning
- machine-learning
- bayesian-methods
- bayesian-machine-learning
- gaussian-processes
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
DeepStream SDK Python bindings and sample applications
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
- street-networks
- binder
- jupyter-notebook
- notebooks
Single-document unsupervised keyword extraction
- keyword-extraction
- unsupervised-approach
- corpus-independent
- domain-and-language-independent
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
- deep-learning
- artificial-neural-networks
- continual-learning
- lifelong-learning
Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)
A comprehensive guide to building RAG-based LLM applications for production.
- llms
- machine-learning
- ray
- anyscale
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
- score-matching
- stochastic-differential-equations
- generative-models
- score-based-generative-modeling
1st place solution
- kaggle-web-traffic
- kaggle
- time-series
- timeseries